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Optimizing AI for industrial robotic inspection

Optimizing AI for industrial robotic inspection

Business news |
By Rich Pell



Using Nvidia’s DGX systems and AI expertise, the company says it can target specific points of inspection and develop paths to collect video and imaging data for a variety of robotics applications, including drones, robotic crawlers, and autonomous underwater vehicles (AUVs). Driven by 3D models, these paths can be repeated from the same angles and locations, and over time allow detection – via image analytics – of changes, and measure exact defects on an industrial asset, such as cracks and corrosion.

In addition, the cloud-based platform can also rate the severity of defects, which are often not visible to the human eye. As a result, a determination can be made when equipment needs to be replaced and enable earlier resolution of potential issues.

Using the Nvidia systems, Avitas scientists train neural network software to process many different images and determine when it is ready to identify defects. Deep learning models are stored in the company’s AI Workbench, which can process inspection data in real time and retrain the models to adapt to new use cases.

“Working with Nvidia allows us to fully commercialize our cutting-edge, self-service AI Workbench, and we look forward to expanding its capabilities using the new Nvidia DGX Stations with Volta,” says Alex Tepper, Founder and Head of Corporate and Business Development at Avitas Systems. “With our workbench, our engineers can easily create and access new deep learning models that train the software deployed to recognize defects automatically at inspection sites.”

“Avitas Systems is breaking new ground by bringing Nvidia DGX Station beyond the deskside and into the field for the first time,” adds Jim McHugh, General Manager of DGX Systems for Nvidia. “Using our latest DGX systems to help train robots and better predict industrial defects increases worker safety, protects the environment, and leads to substantial cost savings for companies.”

Avitas Systems
Nvidia Corporation

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